Skill UI

A comprehensive guide for polishing academic manuscripts intended for the Journal of Economic Growth (JEG). It instructs authors on structuring arguments around core growth mechanisms, translating raw econometric coefficients into meaningful growth language (e.g., convergence, productivity), and applying specific metadata and citation standards (APA, JEL codes) required by top-tier journals in development economics.

This comprehensive checklist guides authors through the final pre-submission review for the Journal of Policy Analysis and Management (JPAM). It ensures the manuscript is properly anonymized (double-blind), confirms adherence to membership/fee requirements, and verifies all necessary metadata, data availability statements, and formatting standards before upload to the Wiley Research Exchange platform.

A comprehensive guide for authors preparing their accepted KDD paper for ACM proceedings. It covers the entire production pipeline, including page budgeting (9 content pages, 3 pages for references/appendix), managing e-rights and TAPS uploads, de-anonymization steps, and ensuring proper Digital Library metadata for final publication.

This comprehensive guide details the preflight process for submitting mathematical finance papers through Wiley Research Exchange. It covers scientific readiness, LaTeX best practices, required metadata (JEL/AMS/MSC classifications, data availability), and structural guidelines to ensure the manuscript is fully compliant and submission-ready.

This guide details the critical steps for authors preparing their accepted paper for final publication in MLSys proceedings. It covers de-anonymization, restoring company and repository identity, reconciling promised rebuttals, and ensuring metadata accuracy for long-term findability. Essential for managing the complex post-acceptance timeline.

This guide walks authors through the critical steps of transitioning an accepted academic paper from an anonymous submission to the final, published, double-column camera-ready version. It covers de-anonymization (restoring author details, links), fulfilling all review promises, completing ACM metadata and rights, coordinating artifact badges, and planning the in-person conference presentation.

A comprehensive guide for authors preparing accepted academic papers for publication in the ACM Digital Library. This process covers de-anonymization (restoring author details, funding, and public links), applying the strict double-column format, adhering to page budgets, incorporating all results promised during the rebuttal, and finalizing necessary metadata and conference artifacts.

This guide details the critical process of transforming an accepted, anonymous conference paper into its final, published, open-access version for the ACL Anthology. It covers the essential 'three-source merge' process: integrating reviewer-promised revisions, restoring author identity and community acknowledgements, correcting metadata, and managing conference logistics. Essential reading for authors submitting to top-tier NLP venues like NAACL.

Provides comprehensive guidelines for packaging and presenting research artifacts (code, data, models, benchmarks) submitted to NeurIPS. It details requirements for anonymous review packages, public release, and ensures scientific claims are reproducible by providing necessary metadata, licenses, and execution details.

This comprehensive guide outlines the necessary steps and artifacts required for submitting a camera-ready version of an accepted NeurIPS paper. It covers de-anonymization, updating metadata, resolving final content issues, and ensuring all public-facing elements meet official guidelines.

A comprehensive guide for authors submitting to Nature Geoscience. This checklist covers all necessary pre-submission steps, including verifying word counts, ensuring consistent formatting, completing critical compliance files (data/code availability, reporting summary), and auditing metadata, ensuring your manuscript is fully prepared for editorial review.

This skill provides robust functionality to resolve free-text scientific labels into standard ontology term IDs (CURIEs) and validate existing identifiers against authoritative databases. It is essential for metadata curation, ensuring that submitted biological data (e.g., tissue types, diseases, assays) uses current, correct, and non-obsolete identifiers, thereby maintaining high data quality for large-scale scientific datasets.